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Artificial Intelligence

1 Study option · UndergraduateMain Site
Awarded by:
University of East Anglia

Course options

2026-2027
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Course summary

Overview
Step into one of the most exciting and fastest-growing tech fields with our MComp in Artificial Intelligence. Designed to put you at the forefront of innovation, this dynamic programme equips you with the skills, knowledge, and confidence to help shape the future of AI.

On this Artificial Intelligence degree, you'll master the foundations of computer science while diving deep into cutting-edge AI technologies, including machine learning, natural language processing, generative AI, and ethical AI development. The curriculum begins with essential mathematics, programming skills, databases, and web development, before progressing to specialised AI techniques and their real-world applications. You’ll work with the latest industry tools and frameworks while developing the critical thinking skills needed to tackle complex problems.

What sets this AI course apart is its powerful blend of theory and real-world applications. From day one, you’ll gain hands-on experience through immersive lab sessions, dynamic group projects, and a final-year individual project that allows you to showcase your skills. By working on real-world problems, you'll be prepared to create impactful, future-facing solutions in high-demand sectors like business, healthcare, finance, environmental tech, and creative industries.

Our teaching is informed by world-leading research from the School of Computing Sciences, ensuring you’re at the cutting edge of innovation. You won’t just gain technical skills—you’ll also explore the vital ethical dimensions of artificial intelligence. From privacy and algorithmic bias to transparency and the wider societal impact of AI, you’ll graduate not only as a capable developer, but as a responsible and forward-thinking innovator in the field.

Upon graduation, your career opportunities will be extensive. You’ll be equipped to pursue exciting and well-remunerated roles such as machine learning engineer, data scientist, AI researcher, software developer, or AI ethics consultant. Whether you’re aiming for a cutting-edge role in industry or planning to continue your academic journey, this degree also provides excellent preparation for advanced study at MSc or PhD level.

Disclaimer
Course details are subject to change. You should always confirm the details on the provider's website: www.uea.ac.uk

Ways to study this course

Campuses

  • Main Site

Study options

  • MComp (Hons) • Full-time • 4 Years

Start dates

  • 14/09/2026

Application codes

Course code:
G62N
Institution code:
E14

University of East Anglia UEA has participated in the Teaching Excellence Framework. These ratings were awarded in 2023, for four years.

See why these ratings were awarded
What does this TEF outcome mean?

How to apply

Application codes

Course code:
G62N
Institution code:
E14

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Historical entry grades data BETA

This section shows the range of grades students (with UK A-Levels or Pearson BTEC Level 3 National Extended Diplomas) who received offers were previously accepted with (learn more). It is designed to support your research but does not guarantee whether you will or won't get a place. Admissions teams consider various factors, including interviews, subject requirements, and entrance tests. Check all course entry requirements for eligibility.

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70 Employment after 15 months (Most common jobs)

87 Go onto work and study

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